MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641077179 A) filed by Dr. A. Srisaila; Dr. Karthik Chinnasamy; Dr. R. Nagarajan; Dr. Nellore Manoj Kumar; Mr. Dilip I. Sangotra; Dr. M. Elumalai; and Dr. Bendi Nageswara Rao on June 22, 2026, for A System And Method For Integrating Fuzzy Probabilistic Computation In Real-Time Ai Inference Engines.
Inventors include Dr. A. Srisaila; Dr. Karthik Chinnasamy; Dr. R. Nagarajan; Dr. Nellore Manoj Kumar; Mr. Dilip I. Sangotra; Dr. M. Elumalai; and Dr. Bendi Nageswara Rao.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a system and method for integrating fuzzy probabilistic computation within real-time artificial intelligence inference engines to enhance decision-making accuracy, reliability, and interpretability under uncertain operating conditions. The invention comprises a data acquisition module, a fuzzy reasoning engine, a probabilistic computation engine, a fusion module, and an adaptive inference orchestration framework configured to process ambiguous, incomplete, noisy, and dynamically changing information. The system transforms incoming data into fuzzy linguistic representations and probabilistic confidence estimations, which are subsequently fused to generate unified uncertainty-aware inference outputs. Context-aware reasoning, adaptive learning mechanisms, uncertainty propagation management, and explainable intelligence capabilities further improve prediction transparency and operational robustness. The invention supports deployment across edge computing platforms, cloud infrastructures, autonomous systems, healthcare applications, industrial automation environments, cybersecurity systems, financial analytics platforms, and Internet of Things ecosystems. The proposed framework enables scalable, low-latency, and confidence-aware intelligent decision making while effectively handling ambiguity, vagueness, randomness, and incomplete information in real-time environments.
Disclaimer: Curated by HT Syndication.
